Home > AI in IP Report Why Now Key Themes Contributors Download Report Global Standards Leadership Conference AI in IP How artificial intelligence is reshaping intellectual property — and what IP professionals need to prepare for Read now Artificial intelligence is moving rapidly from experimentation to real-world application across intellectual property. It is changing how inventions are created, how patent professionals work, how IP intelligence is generated and how strategic decisions are made. AI in IP brings together perspectives from experienced IP thought leaders, senior practitioners and experts to examine what is changing, where AI is already creating value and what IP leaders need to prepare for next. Download the report The question is no longer whether AI will change IP The report approaches AI in IP from multiple perspectives — from its impact on the patent system itself to the practical realities of using AI in corporate IP functions and strategic patent intelligence. AI is beginning to influence the patent system itself. It is changing the skills expected of IP professionals, making sophisticated patent intelligence accessible to a broader group of users and creating new possibilities for connecting IP information with business strategy. At the same time, greater AI capability creates new questions around reliability, professional judgment, data quality, transparency and governance. For IP leaders, the conversation is therefore shifting from: What does the AI transformation mean for IP? The report approaches AI in IP from multiple perspectives — from its impact on the patent system itself to the practical realities of using AI in corporate IP functions and strategic patent intelligence. The patent system How will AI-assisted invention affect the patent system? Explore how AI may change the economics of invention and challenge established concepts and assumptions within the patent system. The IP profession What happens to the role of the IP professional as AI takes on more work? Understand how AI is changing workflows, skills and expectations — and why strategic, commercial and analytical capabilities are becoming increasingly important. AI in real IP workflows Where is general-purpose AI already creating value? See how corporate IP teams are experimenting with and applying AI across patent-related workflows, and what they are learning along the way. Democratizing patent intelligence What changes when more people can work directly with patent information? Explore how AI can broaden participation in patent intelligence across R&D, strategy and business functions while increasing the importance of specialist validation. From invention to IP impact How can AI help turn more ideas into strategic IP assets? Explore how Inventor Culture, patent intelligence and AI can support invention and increase inventive output — while creating new challenges for evaluating, prioritizing and managing a growing invention pipeline. AI architecture and trusted data Which AI model is right for which use case? Explore different levels of AI integration — from AI-enhanced patent software to dedicated AI applications, data-layer agents and MCP-based environments — and why the quality of the underlying data remains fundamental. AI alone is not the differentiator. The real value emerges when AI, trusted data and IP expertise come together. As AI models become increasingly capable, the quality of the information they work with — and the judgment applied to their outputs — becomes more important, not less. For patent intelligence in particular, reliable ownership information, correctly interpreted legal status, harmonized patent families and historical point-in-time data remain essential if AI-generated analysis is to support meaningful strategic decisions. The report explores what this means as IP organizations move from experimentation and efficiency gains toward more strategic use of AI. Download the report Perspectives from across the IP community The report brings together experienced IP thought leaders, senior practitioners and experts whose work spans corporate IP leadership, patent intelligence, innovation strategy, litigation, licensing and IP policy. Their perspectives provide different viewpoints on the opportunities, implications and challenges created as AI becomes increasingly embedded in intellectual property. Bowman Heiden Co-Director of the Center for Intellectual Property (CIP) at the University of Gothenburg, and Executive Director of the Tusher Strategic Initiative for Technology Leadership, UC Berkeley AI’s impact on the patent system Author bio Dr. Bowman Heiden is the Co-Director of the Center for Intellectual Property (CIP) at University of Gothenburg, which is a joint platform between academia and industry focused on the transformation of knowledge into wealth and welfare. He is also the Executive Director of the Tusher Strategic Initiative for Technology Leadership at UC-Berkeley and co-chair of the Technology, Innovation, and Intellectual Property program at the Classical Liberal Institute at the NYU School of Law. Dr. Heiden was recently a member of the European Commission Expert Group on Standard Essential Patents. Dr. Heiden is the co-founder of the Berkeley Deep Tech Innovation Lab, the Dynamic Competition Initiative, ICM Global, and Increasing Diversity in Innovation. Over the past fifteen years, Dr. Heiden has also managed over 150 innovation projects with industry, university research institutes, healthcare providers, and start-up ventures. Dr. Heiden holds degrees in engineering, technology management, and economics, and his research is at the interdisciplinary interface of economics, law, and innovation, in particular, intellectual property, innovation economics, and competition policy in knowledge-intensive sectors. Before turning his focus to the fields of innovation strategy and policy, Dr. Heiden played professional basketball in a number of European countries. Ruud Peters Co-Director at the Center for Intellectual Property (CIP), CEO at Peters IP Consultancy B.V., former Chief IP Officer and Executive Vice President at Koninklijke Philips N.V. How AI is changing the work of IP professionals Author bio Ruud Peters is an IP business leader and entrepreneur with both strategic and operational capabilities, who created and managed one of the world’s leading and most successful IP businesses as Chief Intellectual Property Officer of Philips for a period of 15 years till the end of 2013. In 2014 he established his own IP Consultancy company providing consultancy in IP strategy and organizational matters to enterprises and institutes around the globe. In addition, he is acting as board member/advisory board member/advisor for Iprova Sarl, Lausanne, Switzerland; School of Management, Zhejiang University, Hangzhou, China; Institute for Intellectual Property Management, Zhejiang University, Hangzhou, China; Center for Intellectual Property (CIP), Gothenburg, Sweden; AI Patents, North Carolina, USA and Arbell Energy, Tel Aviv, Israel. In 2017 he was appointed as Guest-Professor at the School of Management, Zhejiang University, Hangzhou, China. He was inducted into the IP Hall of Fame in 2010 and he received an Outstanding Achievement Award for his lifetime contributions to the IP field from Managing Intellectual Property magazine in 2014. He frequently speaks at major international IP conferences/webinars and also writes regularly articles in leading IP and business magazines. Ruud has a background in physics (Technical University Delft, The Netherlands). Stephan Wolke CEO of thyssenkrupp Intellectual Property GmbH Using general-purpose AI across the IP value stream Author bio Dr. Stephan Wolke studied physics, philosophy and macroeconomics at Bonn university and graduated with a Doctorate in physics. He spent the first five years of his professional career at McKinsey & Company. After founding (and having sold) two own businesses Stephan served in several functions at Bayer AG as well as Danaher Corp. He joined thyssentrupp in 2011 and is on corporate level responsible for Intellectual Property as well as head of management board of thyssenkrupp Intellectual Property GmbH. Stephan Ising Head of IP Strategy / Research of thyssenkrupp Intellectual Property GmbH Using general-purpose AI across the IP value stream Author bio Stephan Ising is the Head of IP Strategy & Research at thyssenkrupp Intellectual Property GmbH, a role he has held since July 2020. With nearly a decade of experience at thyssenkrupp, Stephan has developed a deep expertise in intellectual property strategy and research, helping drive innovation and strategic decision-making within the company. Prior to his current role, Stephan served as an Expert in IP Strategy & Research from 2015 to 2020. He began his journey at thyssenkrupp as a Werkstudent in 2014. Stephan holds a Master of Science in Industrial Engineering from the University of Duisburg-Essen and a Master 2 in IP Law and Management from the Center for International Intellectual Property Studies (CEIPI). His academic background, combined with his professional experience, positions him as a key figure in shaping the future of intellectual property strategy at thyssenkrupp. Sakae Nakamura Executive Advisor to LexisNexis Intellectual Property Solutions / Senior Advisor to the IP Landscape Association, Japan Democratizing IP intelligence: How AI broadens participation and strengthens decision-making Author bio Sakae Nakamura is an Executive Advisor to LexisNexis Intellectual Property Solutions and a recognized pioneer in IP landscaping and strategic patent intelligence. She spent nearly four decades at Asahi Kasei Corporation, where she held senior leadership positions in intellectual property and helped establish and lead the company’s IP intelligence activities. Nakamura has played a prominent role in advancing IP landscaping in Japan, including serving as Representative Secretary of the IP Landscape Association. Her work has focused on integrating patent and technology intelligence into business strategy, management decision-making and innovation planning. Tim Alexander Oelmann VP, Head of Competence Center Business IPR Management at Deutsche Telekom AG From inventor culture to invention impact: How AI is changing the challenge for IP management Author bio Tim Alexander Oelmann heads the Competence Center for Business IPR Management at Deutsche Telekom AG, shaping how intellectual property creates strategic and measurable value across a global technology group. His mission is to move IP beyond protection — turning patents, technology, and innovation into business impact. He connects IP strategy with corporate strategy, R&D, innovation processes, business models, and technology value chains to build sustainable competitive advantage. A strong believer in the power of people and ideas, Tim drives initiatives that strengthen the connection between inventors, Research & Development, and the business. Through programs such as the Inventathon, Ideation Lab, and Patent Garage, he promotes a culture where great ideas are identified faster, developed further, and translated into valuable intellectual property and business opportunities. His areas of responsibility include Business Patent Management, strategic patent portfolio management, inventor recognition and reward, IP commercialization, governance, and the strategic positioning of IP in emerging technology domains. Daniel Uhl Patent Information Specialist at Deutsche Telekom AG From inventor culture to invention impact: How AI is changing the challenge for IP management Author bio Daniel Uhl is a Patent Information Specialist at Deutsche Telekom AG. He holds a Diplom in Geography from Freie Universität Berlin (2006) and an MBA from Steinbeis Universität Berlin (2009). With extensive experience at Deutsche Telekom, Daniel specialized in Customer Insights and Market Intelligence from 2008 to 2011, and since 2012 has served as a Patent Intelligence Specialist, recently expanding his role to include Ideation Specialist responsibilities in 2024. Additionally, from 2023 to 2026, Daniel served as Chair of the Patent Development Group (PDG) Task Force on AI Sorting, where he demonstrated leadership and expertise at the intersection of technology innovation and intellectual property. William Mansfield Principal Product Manager, Strategy, Discovery & Market Intelligence (SDMI) for LexisNexis Intellectual Property Solutions From embedded AI to agent-ready patent intelligence Author bio William Mansfield is part of Product Strategy and Discovery for LexisNexis Intellectual Property Solutions, including PatentSight+ and Protégé. He directs the discovery process that turns customer and expert input into working prototypes and product specifications, working closely with engineering, strategy, and customer-facing teams to bring new capabilities from concept through to release. His work spans data engineering, competitive intelligence, and AI integration. He previously oversaw LexisNexis Intellectual Property Solutions’ global consulting work and Customer Success teams, and led initiatives on patent data quality. He has an Economics background and has previously worked on developing Market and R&D strategy in the solar industry. Inside AI in IP The report combines expert perspectives with practical frameworks and real-world experience to help IP professionals understand not only where AI stands today, but where it is heading next. From changes to the patent system itself to the data foundations required for trusted AI, the report follows the transformation of IP from several interconnected perspectives. Chapter 1 Chapter 2 Chapter 3 Chapter 4 Chapter 5 Chapter 6 Bowman Heiden Chapter 1: AI’s impact on the patent system AI does more than accelerate existing patent processes. It may change how inventions are created, how inventive activity is assessed and how the patent system balances incentives, quality and access. Ruud Peters Chapter 2: How AI is changing the work of IP professionals As AI becomes embedded across the IP lifecycle, value is shifting from performing individual tasks toward applying judgment, connecting IP with business strategy and communicating its relevance to decision-makers. Stephan Wolke & Stephan Ising Chapter 3: Using general-purpose AI in patent-related workflows A practical corporate perspective on where general-purpose AI can support everyday IP work, where its limitations become visible and how teams can integrate AI into existing workflows. Sakae Nakamura Chapter 4: Democratizing IP intelligence: How AI broadens participation and strengthens decision-making AI is lowering the barrier to working with patent information. Nakamura presents a five-step approach that enables wider participation in IP intelligence while preserving specialist validation and analytical rigor. Tim Alexander Oelmann & Daniel Uhl Chapter 5: From inventor culture to invention impact: How AI is changing the challenge for IP management Explore how Inventor Culture, patent intelligence and AI can support invention and increase inventive output — while creating new challenges for evaluating, prioritizing and managing a growing invention pipeline. William Mansfield Chapter 6: From AI-enhanced software to agent-ready patent intelligence Different organizations require different approaches to AI. This chapter examines the spectrum from AI-enhanced patent applications through dedicated AI environments and data agents to MCP-based architectures — and explains why trusted patent data remains the foundation across all of them. Get the AI in IP report Discover how AI is reshaping the patent system, changing the role of IP professionals and opening new possibilities for strategic patent intelligence. Learn where AI is already creating value — and what IP organizations need to put in place to use it with confidence. Explore AI and patent intelligence. IP Analytics & IntelligenceHow AI Is Transforming IP Strategy Across the Patent Lifecycle Read more IP Analytics & IntelligenceWhen Your Clients Stop Asking About Patents and Start Asking About the Business Read more IP BlogBeyond the Search: How AI Is Changing Patent StrategyRead more IP BlogTurning Emerging Technology Into Strategic InsightRead more